Duration: 9 months
Earth observation satellites typically produce a high amount of data to be processed, with the on-board technology evolution, some level of processing is done already in flight, but still the majority is done on ground. And such processing of scientific data coming from a space might still presents a challenge using classical computing. Therefore, approaches like limitation of input data, lowering of resolution, etc. is widely used. When the “classical” approach might not be sufficient (due to natural limitation or time-to-get results constrain), quantum approach might present a quite significant boost.
The main goal of this project is to “compare” the classical approach taken in space data processing to “new” approach of quantum computing. The result then whould be quantified in a way that the differences in defined key metrics are presented. The approach is to identify few possible candidates among data processing techniques that could be run on quantum computer (i.e., parts of complex algorithms) and achieve speed-up or better precision when compared to classical approach. After identifying these candidates, the most promising one will be selected and more detailed study will be performed. This can “guarantee” that the work can be performed in reasonable amount of time with reasonable number of resources having meaningful results on which general conclusion can be drawn.
The second goal of this project is to focus on a known limitation of the selected candidates and try to find solution to them using the quantum algorithms. The last step of the project is to analyze the results and made justifiable conclusion, not just statement “go/no-go” for future possible experimentation with quantum computing in this respect, but should take into account all the results, possible limitation identified, etc. to prepare final report. The consortium partners are Huld and IBM (both Czech Republic).
